The online laser network combustion parameter detection system based on tunable diode laser absorption spectroscopy (TDLAS) technology can simultaneously measure oxygen (O)₂）Carbon monoxide (CO), water (H)₂O) The average concentration and temperature. Usually, multiple paths are arranged in a grid form on one or more levels of the boiler to obtain a gas concentration and temperature profile analysis diagram of the furnace combustion section. This system can also be referred to as a boiler CT machine.

Combustion optimization based on boiler CT utilizes real-time temperature field data measured by boiler CT, combined with other process parameters such as unit load and air powder concentration. Advanced technologies such as expert databases, artificial neural networks, and adaptive control are used for combustion optimization control, optimizing the combustion operation modes such as air and coal distribution of the boiler online. The combustion optimization module dedicated to the combustion optimization controller analyzes and calculates the current combustion status, and then continuously outputs deviation signals to DCS. DCS adjusts the swing angle of the burner, the opening degree of the secondary air baffle, etc., ultimately forming a complete combustion optimization closed-loop control, so that the boiler can continue to stabilize in the optimized combustion state.